Principal Data Analyst - Geospatial Intelligence
Remote / Online - Candidates ideally in
Los Angeles, Los Angeles County, California, 90079, USA
Listed on 2026-02-28
Los Angeles, Los Angeles County, California, 90079, USA
Listing for:
Eyefinity, Inc.
Full Time, Remote/Work from Home
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Remote locations:
Remote UStime type:
Full time posted on:
Posted 3 Days Agojob requisition :
R-9165
The Principal Data Analyst collaborates with executive stakeholders, technical staff, analysts and subject-matter experts in creating robust, high-trust, scalable Enterprise data analytics solutions for business insight. As a Technical Data Steward, this role contributes to ensuring the Global Data Warehouse is the trusted source of integrated Enterprise data. This position advises business and technical leadership, and Product Owners in defining and scoping strategic Enterprise, Pillar, and Line of Business analytics product backlogs and performance metrics.
Performs advanced data analysis including sampling, modeling, profiling, and evaluation of statistical metrics Researches and assesses data quality, data lineage and business use of data sources for critical Enterprise/Master data Provides leadership, Business Analysts and other Data Analysts with recommendations to address data quality issues and recommends the best data sources to enable effective analysis of critical master data Foster the cross-functional collaboration required to leverage data as a strategic asset to enable self-service analytics (i.e.;
insight generation, dashboards), advanced analytics (i.e.; predictive and prescriptive modeling), corporate performance management, and digital transformation Ensure technical metadata and business glossary meets data protection, data privacy and data quality standards
Provide administrative and configuration support for the Enterprise information catalogue and business glossary, and the Enterprise Performance Management application
Collaborate within an agile, multi-disciplinary team of data architects, data analysts, data engineers, BI developers and scrum master to deliver analytics solutions
Adapt standard or develop new business rules for classification, forecasting, simulation, optimization, and summarization necessary to support analytic needs
Assess the accuracy of data sources and define and document cleansing strategies to meet data quality requirements; provide recommendations to define data quality standards
** Job Specifications
*** Typically has the following skills or abilities:
* Bachelor’s degree in Engineering, Computer Science, Statistics, Analytics etc., or equivalent work experience 6 years performing data analysis across legacy, cloud and package applications using data analysis toolsets 6 years’ experience working with analytical capabilities including knowledge about various analytical architectures, patterns and methods, analytics applications and Data warehouse platforms6 years’ experience creating detailed technical specifications, metadata and release documentation Experience using SQL to perform data segmentation and analysis
Must have experience working with granular raw data from operational systems
Excellent written and verbal communication skills with the ability to gather requirements and effectively communicate technical concepts and ideas
Demonstrates highly effective cross functional leadership and experience working in a large matrixed organization, aligning cross functional stakeholders, gathering business requirements, and launching product features
Preferred
Skills:
* Proficiency with modern BI and GIS tools (e.g., Power BI, Tableau, ArcGIS, or comparable).
* Extensive experience working with SQL and familiarity with GIS (ArcGIS) mapping technologies - Geospatial
* Experience working in Snowflake or equivalent cloud warehouse environment
* Experience administering Power BI Tenant/Fabric environments – best practices
* Adept at creating intuitive – user friendly interfaces, including use of interactive agents
* Knowledge of modeling concepts:
Relational, Dimensional
* Experience integrating AI/ML techniques into analytics workflows or visualization platforms.#LI-VISIONCARE Compensation range for the role is listed below. Applicable salary ranges may differ across markets.
Actual pay will be determined based on experience and other…
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